mirror of https://github.com/ecmwf/eccodes.git
ECC-184: Create python example to read CSV and encode BUFR
This commit is contained in:
Shahram Najm
parent
5d58da9af0
commit
9afebc4ca1
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@ -68,3 +68,14 @@ foreach( test ${tests} )
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TEST_DEPENDS eccodes_get_gribs eccodes_get_tigge_gribs eccodes_get_bufrs
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)
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endforeach()
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ecbuild_add_test( TARGET eccodes_p_make_flight_bufr_test
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TYPE SCRIPT
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DEPENDS ${ptools}
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COMMAND ${CMAKE_CURRENT_SOURCE_DIR}/make_flight_bufr.sh
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CONDITION HAVE_PYTHON
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ENVIRONMENT PYTHON=${PYTHON_EXECUTABLE}
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RESOURCES flight_data.csv
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TEST_DEPENDS eccodes_get_bufrs
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)
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@ -0,0 +1,186 @@
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ymd,time,latitude,longitude,altitude,pressure,windSpeed,windDirection,temperature
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20150101,05:30:00,51.75794 ,1.7008 ,2362,759.32 ,19.28 ,81.95 ,14.18
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20150101,05:30:01,51.75738 ,1.7014 ,2369,758.64 ,19.71 ,81.24 ,14.17
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20150101,05:30:02,51.75681 ,1.7020 ,2375,758.16 ,19.80 ,80.82 ,14.15
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20150101,05:30:03,51.75624 ,1.7026 ,2382,757.66 ,19.84 ,80.84 ,14.13
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20150101,05:30:04,51.75567 ,1.7031 ,2388,757.08 ,19.77 ,80.71 ,14.08
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20150101,05:30:05,51.75511 ,1.7037 ,2395,756.60 ,19.79 ,80.55 ,14.08
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20150101,05:30:06,51.75454 ,1.7043 ,2401,755.96 ,19.70 ,80.24 ,14.11
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20150101,05:30:07,51.75398 ,1.7049 ,2406,755.26 ,19.77 ,80.21 ,14.08
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20150101,05:33:41,51.61353 ,1.8529 ,2558,742.34 ,19.66 ,82.84 ,13.74
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20150101,05:33:42,51.61281 ,1.8536 ,2558,742.30 ,19.54 ,82.59 ,13.76
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20150101,05:33:43,51.61209 ,1.8543 ,2557,742.34 ,19.47 ,82.56 ,13.77
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20150101,05:33:44,51.61137 ,1.8551 ,2557,742.42 ,19.61 ,82.47 ,13.78
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20150101,05:33:45,51.61065 ,1.8558 ,2557,742.40 ,19.55 ,82.83 ,13.75
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20150101,05:33:46,51.60994 ,1.8565 ,2557,742.34 ,19.72 ,82.40 ,13.75
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20150101,05:33:47,51.60922 ,1.8573 ,2557,742.42 ,19.70 ,82.86 ,13.74
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20150101,05:33:48,51.60851 ,1.8580 ,2558,742.42 ,19.72 ,83.18 ,13.74
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20150101,05:33:49,51.60779 ,1.8588 ,2558,742.36 ,19.87 ,83.18 ,13.76
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20150101,05:33:50,51.60707 ,1.8595 ,2558,742.24 ,19.87 ,82.71 ,13.76
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20150101,05:33:51,51.60635 ,1.8602 ,2558,742.20 ,19.89 ,82.98 ,13.76
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20150101,05:33:52,51.60564 ,1.8609 ,2558,742.26 ,19.74 ,82.40 ,13.79
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20150101,05:33:53,51.60492 ,1.8617 ,2558,742.22 ,19.71 ,82.27 ,13.80
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20150101,05:33:54,51.60420 ,1.8624 ,2558,742.20 ,19.51 ,82.61 ,13.84
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20150101,05:33:55,51.60349 ,1.8631 ,2557,742.44 ,19.85 ,81.95 ,13.82
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20150101,05:33:56,51.60277 ,1.8639 ,2556,742.32 ,19.61 ,82.23 ,13.78
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20150101,05:33:57,51.60205 ,1.8646 ,2555,742.54 ,19.57 ,81.95 ,13.81
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20150101,05:35:59,51.51433 ,1.9565 ,2553,742.30 ,18.21 ,81.25 ,14.45
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20150101,05:36:00,51.51360 ,1.9572 ,2553,742.34 ,18.42 ,80.25 ,14.45
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20150101,05:36:01,51.51288 ,1.9580 ,2553,742.40 ,18.38 ,79.72 ,14.43
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20150101,05:36:02,51.51215 ,1.9588 ,2552,742.42 ,18.34 ,79.76 ,14.37
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20150101,05:36:03,51.51142 ,1.9595 ,2552,742.48 ,18.38 ,80.23 ,14.34
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20150101,05:36:04,51.51070 ,1.9603 ,2552,742.58 ,18.39 ,80.07 ,14.35
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20150101,05:36:05,51.50997 ,1.9610 ,2551,742.42 ,18.29 ,80.05 ,14.35
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20150101,05:36:06,51.50924 ,1.9618 ,2551,742.68 ,18.22 ,80.20 ,14.35
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20150101,05:36:07,51.50852 ,1.9625 ,2551,742.54 ,18.21 ,80.20 ,14.35
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20150101,05:36:08,51.50779 ,1.9633 ,2551,742.38 ,18.17 ,80.11 ,14.30
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20150101,05:36:09,51.50706 ,1.9641 ,2551,742.60 ,18.20 ,80.35 ,14.27
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20150101,05:36:10,51.50634 ,1.9648 ,2551,742.48 ,18.05 ,80.69 ,14.27
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20150101,05:36:11,51.50561 ,1.9656 ,2551,742.58 ,18.03 ,80.87 ,14.27
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20150101,05:36:12,51.50489 ,1.9664 ,2552,742.48 ,18.29 ,81.89 ,14.25
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20150101,05:36:13,51.50416 ,1.9671 ,2552,742.52 ,18.14 ,82.59 ,14.31
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20150101,05:36:14,51.50343 ,1.9679 ,2553,742.34 ,18.23 ,83.10 ,14.35
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20150101,05:36:15,51.50271 ,1.9686 ,2553,742.28 ,18.56 ,84.18 ,14.31
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20150101,05:36:16,51.50198 ,1.9694 ,2554,742.30 ,18.55 ,84.49 ,14.33
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20150101,05:36:17,51.50126 ,1.9702 ,2554,742.24 ,18.72 ,84.70 ,14.37
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20150101,05:36:18,51.50054 ,1.9709 ,2554,742.30 ,18.74 ,85.26 ,14.36
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20150101,05:36:19,51.49981 ,1.9717 ,2554,742.12 ,18.80 ,85.39 ,14.37
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20150101,05:36:20,51.49909 ,1.9724 ,2555,742.24 ,18.99 ,85.95 ,14.34
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20150101,05:36:21,51.49837 ,1.9732 ,2555,742.24 ,19.02 ,86.23 ,14.32
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20150101,05:36:22,51.49765 ,1.9739 ,2555,742.12 ,19.06 ,86.45 ,14.31
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20150101,05:36:23,51.49693 ,1.9747 ,2554,742.16 ,19.12 ,86.76 ,14.28
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20150101,05:36:24,51.49621 ,1.9754 ,2554,742.26 ,18.87 ,86.29 ,14.30
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20150101,05:36:25,51.49549 ,1.9762 ,2554,742.26 ,19.11 ,85.92 ,14.26
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20150101,05:36:26,51.49476 ,1.9769 ,2553,742.20 ,19.03 ,86.29 ,14.22
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20150101,05:36:27,51.49405 ,1.9777 ,2553,742.34 ,19.18 ,86.32 ,14.20
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20150101,05:36:28,51.49333 ,1.9784 ,2553,742.24 ,19.24 ,86.36 ,14.17
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20150101,05:36:29,51.49260 ,1.9792 ,2553,742.32 ,19.29 ,85.54 ,14.20
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20150101,05:36:30,51.49189 ,1.9799 ,2553,742.34 ,19.36 ,85.71 ,14.20
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20150101,05:36:31,51.49117 ,1.9807 ,2554,742.38 ,19.39 ,85.95 ,14.19
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20150101,05:36:32,51.49045 ,1.9814 ,2554,742.32 ,19.55 ,86.33 ,14.20
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20150101,05:36:33,51.48973 ,1.9822 ,2554,742.22 ,19.52 ,85.98 ,14.21
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20150101,05:36:34,51.48902 ,1.9829 ,2554,742.36 ,19.51 ,85.53 ,14.23
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20150101,05:36:35,51.48830 ,1.9837 ,2554,742.20 ,19.34 ,85.73 ,14.26
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20150101,05:36:36,51.48759 ,1.9844 ,2554,742.00 ,19.37 ,85.62 ,14.26
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20150101,05:36:37,51.48688 ,1.9852 ,2554,742.24 ,19.40 ,85.86 ,14.27
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20150101,05:36:38,51.48616 ,1.9859 ,2554,742.22 ,19.63 ,86.06 ,14.28
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20150101,05:36:39,51.48545 ,1.9867 ,2553,742.26 ,19.95 ,85.89 ,14.27
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20150101,05:36:40,51.48474 ,1.9874 ,2553,742.16 ,19.81 ,86.01 ,14.22
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20150101,05:36:41,51.48403 ,1.9881 ,2553,742.34 ,19.32 ,87.45 ,14.22
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20150101,05:36:42,51.48333 ,1.9889 ,2552,742.10 ,20.22 ,90.31 ,14.11
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20150101,05:36:43,51.48262 ,1.9896 ,2552,742.50 ,19.74 ,89.33 ,14.24
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20150101,05:36:44,51.48191 ,1.9904 ,2552,742.66 ,18.69 ,87.18 ,14.46
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20150101,05:36:45,51.48121 ,1.9911 ,2552,742.38 ,19.41 ,89.47 ,14.41
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20150101,05:36:46,51.48050 ,1.9919 ,2551,742.40 ,19.71 ,86.92 ,14.45
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20150101,05:36:47,51.47980 ,1.9926 ,2551,742.48 ,18.47 ,86.49 ,14.40
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20150101,05:36:48,51.47910 ,1.9933 ,2551,742.18 ,17.70 ,85.66 ,14.39
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20150101,05:36:49,51.47840 ,1.9941 ,2551,742.58 ,17.84 ,89.68 ,14.39
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20150101,05:36:50,51.47770 ,1.9948 ,2551,742.38 ,19.76 ,83.78 ,14.57
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20150101,05:36:51,51.47700 ,1.9955 ,2551,742.24 ,18.98 ,83.07 ,14.39
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20150101,05:36:52,51.47630 ,1.9963 ,2551,742.34 ,20.36 ,86.14 ,14.28
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20150101,05:36:53,51.47560 ,1.9970 ,2552,742.08 ,20.66 ,84.28 ,14.20
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20150101,05:36:54,51.47490 ,1.9978 ,2553,742.58 ,20.01 ,82.04 ,14.27
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20150101,05:36:55,51.47420 ,1.9985 ,2553,742.04 ,20.43 ,80.02 ,14.13
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20150101,05:36:56,51.47350 ,1.9992 ,2554,742.10 ,18.79 ,80.63 ,14.16
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20150101,05:36:57,51.47280 ,2.0000 ,2555,741.98 ,17.62 ,82.50 ,14.08
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20150101,05:36:58,51.47209 ,2.0007 ,2556,742.06 ,17.42 ,81.05 ,14.06
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20150101,05:36:59,51.47139 ,2.0014 ,2557,742.16 ,16.87 ,83.43 ,13.97
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20150101,05:37:00,51.47069 ,2.0022 ,2558,741.94 ,19.95 ,81.32 ,13.80
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20150101,05:37:01,51.46999 ,2.0029 ,2557,741.52 ,19.05 ,90.09 ,13.45
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20150101,05:37:02,51.46928 ,2.0036 ,2557,741.96 ,18.63 ,89.85 ,13.40
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20150101,05:37:03,51.46858 ,2.0044 ,2556,741.94 ,18.00 ,90.13 ,13.29
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20150101,05:37:04,51.46787 ,2.0051 ,2556,742.08 ,18.69 ,90.18 ,13.13
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20150101,05:37:05,51.46717 ,2.0058 ,2555,742.12 ,19.07 ,88.68 ,13.15
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20150101,05:37:06,51.46647 ,2.0066 ,2555,742.34 ,18.67 ,88.31 ,13.07
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20150101,05:37:07,51.46577 ,2.0073 ,2555,742.38 ,18.84 ,88.24 ,13.04
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20150101,05:37:08,51.46506 ,2.0080 ,2554,742.42 ,18.82 ,88.60 ,13.03
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20150101,05:37:09,51.46437 ,2.0088 ,2554,742.36 ,19.10 ,88.56 ,12.99
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20150101,05:37:10,51.46366 ,2.0095 ,2553,742.40 ,19.04 ,88.77 ,12.93
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20150101,05:37:11,51.46296 ,2.0102 ,2553,742.46 ,18.96 ,89.76 ,12.90
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20150101,05:37:12,51.46226 ,2.0110 ,2552,742.48 ,19.03 ,89.55 ,12.94
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20150101,05:37:13,51.46156 ,2.0117 ,2552,742.40 ,18.97 ,89.18 ,12.89
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20150101,05:37:14,51.46087 ,2.0124 ,2552,742.54 ,19.12 ,89.01 ,12.88
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20150101,05:37:15,51.46017 ,2.0132 ,2552,742.48 ,19.18 ,89.28 ,12.95
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20150101,05:37:16,51.45947 ,2.0139 ,2552,742.70 ,19.05 ,88.65 ,13.01
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20150101,05:37:17,51.45878 ,2.0146 ,2552,742.40 ,19.49 ,88.38 ,13.04
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20150101,05:37:18,51.45808 ,2.0154 ,2552,742.50 ,19.64 ,88.37 ,13.06
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20150101,05:37:19,51.45739 ,2.0161 ,2552,742.30 ,19.56 ,87.36 ,13.11
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20150101,05:37:20,51.45670 ,2.0168 ,2551,742.48 ,19.67 ,88.22 ,13.12
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20150101,05:37:21,51.45600 ,2.0175 ,2551,742.42 ,19.66 ,87.64 ,13.14
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20150101,05:37:22,51.45531 ,2.0183 ,2551,742.42 ,19.82 ,86.73 ,13.19
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20150101,05:37:23,51.45462 ,2.0190 ,2551,742.66 ,19.97 ,86.84 ,13.24
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20150101,05:37:24,51.45393 ,2.0197 ,2550,742.72 ,19.14 ,88.26 ,13.24
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20150101,05:37:25,51.45324 ,2.0204 ,2550,742.68 ,19.32 ,87.69 ,13.28
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20150101,05:37:26,51.45255 ,2.0212 ,2549,742.70 ,19.29 ,87.74 ,13.27
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20150101,05:37:27,51.45186 ,2.0219 ,2549,742.58 ,19.31 ,87.45 ,13.34
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20150101,05:37:28,51.45117 ,2.0226 ,2549,742.48 ,19.05 ,87.32 ,13.34
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20150101,05:37:29,51.45048 ,2.0233 ,2548,742.54 ,19.06 ,86.75 ,13.36
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20150101,05:37:30,51.44980 ,2.0241 ,2548,742.72 ,18.84 ,86.56 ,13.36
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20150101,05:37:31,51.44911 ,2.0248 ,2548,742.56 ,19.01 ,86.95 ,13.35
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20150101,05:37:32,51.44856 ,2.0254 ,2548,742.58 ,19.09 ,86.76 ,13.42
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20150101,05:37:33,51.44774 ,2.0262 ,2549,742.48 ,19.02 ,86.02 ,13.46
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20150101,05:37:34,51.44719 ,2.0268 ,2549,742.40 ,18.97 ,86.71 ,13.46
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20150101,05:37:35,51.44637 ,2.0277 ,2549,742.52 ,19.03 ,86.81 ,13.50
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20150101,05:37:36,51.44582 ,2.0282 ,2549,742.46 ,19.08 ,87.69 ,13.52
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20150101,05:37:37,51.44500 ,2.0291 ,2549,742.60 ,18.94 ,87.25 ,13.57
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20150101,05:37:38,51.44446 ,2.0297 ,2549,742.60 ,18.89 ,87.57 ,13.60
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20150101,05:37:39,51.44377 ,2.0304 ,2549,742.66 ,18.89 ,88.48 ,13.57
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20150101,05:37:40,51.44295 ,2.0312 ,2549,742.50 ,18.79 ,88.90 ,13.65
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20150101,05:37:41,51.44241 ,2.0318 ,2549,742.40 ,19.04 ,88.92 ,13.67
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20150101,05:37:42,51.44173 ,2.0325 ,2550,742.44 ,18.96 ,89.12 ,13.71
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20150101,05:37:43,51.44105 ,2.0332 ,2550,742.34 ,19.05 ,88.92 ,13.75
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20150101,05:37:44,51.44037 ,2.0340 ,2550,742.44 ,19.15 ,90.00 ,13.70
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20150101,05:37:45,51.43969 ,2.0347 ,2550,742.44 ,18.94 ,89.15 ,13.78
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20150101,05:37:46,51.43901 ,2.0354 ,2551,742.40 ,19.10 ,90.27 ,13.74
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20150101,05:37:47,51.43833 ,2.0361 ,2552,742.34 ,19.45 ,90.77 ,13.74
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20150101,05:37:48,51.43752 ,2.0369 ,2552,742.32 ,19.65 ,90.73 ,13.77
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20150101,05:37:49,51.43698 ,2.0375 ,2553,742.22 ,19.68 ,90.82 ,13.79
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20150101,05:37:50,51.43617 ,2.0383 ,2553,742.20 ,19.57 ,91.64 ,13.81
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20150101,05:37:51,51.43563 ,2.0389 ,2554,742.14 ,19.45 ,91.21 ,13.87
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20150101,05:37:52,51.43482 ,2.0398 ,2554,742.12 ,19.60 ,90.35 ,13.88
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20150101,05:37:53,51.43428 ,2.0403 ,2554,742.10 ,18.98 ,90.66 ,13.90
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20150101,05:37:54,51.43347 ,2.0412 ,2554,742.18 ,18.95 ,89.06 ,13.93
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20150101,05:37:55,51.43293 ,2.0417 ,2554,742.16 ,18.98 ,87.92 ,13.93
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20150101,05:37:56,51.43227 ,2.0424 ,2554,742.24 ,19.15 ,88.50 ,13.89
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20150101,05:37:57,51.43159 ,2.0431 ,2554,742.20 ,18.86 ,88.21 ,13.91
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20150101,05:37:58,51.43092 ,2.0438 ,2554,742.06 ,18.80 ,88.54 ,13.89
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20150101,05:37:59,51.43025 ,2.0445 ,2554,742.10 ,18.98 ,89.64 ,13.89
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20150101,05:38:00,51.42945 ,2.0454 ,2554,742.16 ,18.91 ,89.70 ,13.92
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20150101,05:38:01,51.42891 ,2.0459 ,2555,742.14 ,18.91 ,89.12 ,13.91
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20150101,05:38:02,51.42824 ,2.0466 ,2555,742.12 ,18.82 ,89.36 ,13.94
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20150101,05:38:03,51.42758 ,2.0473 ,2555,742.02 ,18.56 ,89.75 ,13.93
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20150101,05:38:04,51.42691 ,2.0480 ,2555,741.92 ,18.64 ,89.48 ,13.93
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20150101,05:38:05,51.42624 ,2.0487 ,2556,742.12 ,18.72 ,89.02 ,13.94
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20150101,05:38:06,51.42557 ,2.0494 ,2556,741.94 ,18.61 ,89.20 ,13.93
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20150101,05:38:07,51.42490 ,2.0501 ,2556,741.98 ,18.80 ,89.66 ,13.95
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20150101,05:38:08,51.42424 ,2.0508 ,2556,742.00 ,18.98 ,89.61 ,13.88
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20150101,05:38:09,51.42344 ,2.0516 ,2556,741.86 ,18.71 ,89.60 ,13.87
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20150101,05:38:10,51.42291 ,2.0522 ,2557,741.88 ,18.74 ,89.72 ,13.90
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20150101,05:38:11,51.42224 ,2.0529 ,2557,741.86 ,18.61 ,90.03 ,13.94
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20150101,05:45:15,51.15340 ,2.3331 ,3086,695.96 ,18.43 ,99.02 ,11.88
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20150101,05:45:16,51.15277 ,2.3338 ,3085,695.94 ,18.38 ,99.05 ,11.92
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20150101,05:45:17,51.15214 ,2.3344 ,3085,695.94 ,18.31 ,98.23 ,11.99
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20150101,05:45:18,51.15151 ,2.3351 ,3085,695.98 ,18.77 ,98.64 ,11.94
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20150101,05:45:19,51.15089 ,2.3357 ,3084,695.98 ,18.85 ,98.20 ,11.86
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20150101,05:45:20,51.15025 ,2.3364 ,3084,696.04 ,18.69 ,98.27 ,11.86
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20150101,05:45:21,51.14963 ,2.3371 ,3084,696.02 ,18.50 ,98.86 ,11.85
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20150101,05:45:22,51.14899 ,2.3377 ,3084,696.16 ,18.60 ,97.66 ,11.89
|
||||
20150101,05:45:23,51.14836 ,2.3384 ,3084,696.04 ,18.65 ,98.39 ,11.94
|
||||
20150101,05:45:24,51.14773 ,2.3390 ,3083,696.14 ,18.33 ,99.42 ,12.00
|
||||
20150101,05:45:25,51.14710 ,2.3397 ,3083,696.18 ,18.32 ,98.28 ,12.05
|
||||
20150101,05:45:26,51.14647 ,2.3404 ,3083,696.18 ,18.54 ,97.09 ,12.05
|
||||
20150101,05:45:27,51.14583 ,2.3410 ,3083,696.14 ,18.53 ,96.26 ,12.03
|
||||
20150101,05:45:28,51.14520 ,2.3417 ,3082,696.24 ,18.54 ,96.85 ,11.98
|
||||
20150101,05:45:29,51.14456 ,2.3424 ,3082,696.26 ,18.47 ,97.91 ,12.04
|
||||
20150101,05:45:30,51.14392 ,2.3430 ,3082,696.16 ,18.49 ,97.83 ,12.07
|
||||
20150101,05:45:31,51.14328 ,2.3437 ,3082,696.32 ,18.88 ,96.75 ,12.06
|
||||
20150101,05:45:32,51.14264 ,2.3444 ,3082,696.28 ,18.78 ,97.59 ,12.04
|
||||
20150101,05:45:33,51.14200 ,2.3450 ,3081,696.24 ,19.18 ,97.85 ,11.94
|
||||
20150101,05:45:34,51.14137 ,2.3457 ,3081,696.18 ,19.32 ,98.90 ,11.89
|
||||
20150101,05:45:35,51.14073 ,2.3464 ,3082,696.38 ,19.24 ,99.30 ,11.90
|
||||
20150101,05:45:36,51.14009 ,2.3470 ,3082,696.32 ,19.42 ,99.04 ,11.95
|
||||
20150101,05:45:37,51.13945 ,2.3477 ,3081,696.42 ,19.30 ,99.94 ,12.01
|
||||
20150101,05:45:38,51.13881 ,2.3484 ,3081,696.42 ,19.02 ,99.29 ,12.08
|
||||
20150101,05:45:39,51.13817 ,2.3490 ,3080,696.46 ,19.15 ,98.20 ,12.13
|
||||
20150101,05:45:40,51.13753 ,2.3497 ,3079,696.52 ,19.25 ,98.24 ,12.11
|
||||
20150101,05:45:41,51.13689 ,2.3504 ,3078,696.58 ,19.28 ,98.89 ,12.07
|
||||
|
|
|
@ -0,0 +1,72 @@
|
|||
import numpy
|
||||
import sys
|
||||
|
||||
from eccodes import *
|
||||
|
||||
csv_filename = sys.argv[1]
|
||||
input_filename = sys.argv[2]
|
||||
output_filename= sys.argv[3]
|
||||
|
||||
# Utility function to select a given column from matrix
|
||||
def column(matrix, i):
|
||||
return [row[i] for row in matrix]
|
||||
|
||||
|
||||
fbufrin = open(input_filename, 'rb')
|
||||
fbufrout = open(output_filename, 'wb')
|
||||
|
||||
print 'Using ecCodes version: ',codes_get_api_version()
|
||||
|
||||
colnames = ['ymd','time','latitude','longitude','altitude','pressure','windSpeed','windDirection','temperature'];
|
||||
|
||||
print 'Reading input CSV file: ', csv_filename
|
||||
data = numpy.genfromtxt(csv_filename, delimiter=',', dtype=None, names=True)
|
||||
|
||||
ymd_column = data['ymd']
|
||||
years = map(lambda x: int(str(x)[0:4]), ymd_column)
|
||||
months = map(lambda x: int(str(x)[4:6]), ymd_column)
|
||||
days = map(lambda x: int(str(x)[6:8]), ymd_column)
|
||||
|
||||
time_column = data['time']
|
||||
hours = map(lambda x: int(str(x)[0:2]), time_column)
|
||||
minutes = map(lambda x: int(str(x)[3:5]), time_column)
|
||||
seconds = map(lambda x: int(str(x)[6:8]), time_column)
|
||||
|
||||
latitudes = data['latitude']
|
||||
longitudes = data['longitude']
|
||||
altitudes = data['altitude']
|
||||
pressures = data['pressure']
|
||||
windSpeeds = data['windSpeed']
|
||||
windDirections = data['windDirection']
|
||||
temperatures = data['temperature']
|
||||
|
||||
print 'Reading input BUFR file: ', input_filename
|
||||
bufr = codes_bufr_new_from_file(fbufrin)
|
||||
|
||||
codes_set(bufr,'masterTablesVersionNumber',24);
|
||||
codes_set(bufr,'localTablesVersionNumber',0);
|
||||
codes_set(bufr,'compressedData',1);
|
||||
codes_set(bufr,'numberOfSubsets',len(years));
|
||||
|
||||
unexpandedDescriptors=[301051, 4006,7002, 10004,12001, 11001, 11002, 11031, 11032, 11033, 20041];
|
||||
|
||||
codes_set_array(bufr,'unexpandedDescriptors',unexpandedDescriptors);
|
||||
|
||||
codes_set_double_array(bufr, 'year', years);
|
||||
codes_set_double_array(bufr, 'month', months);
|
||||
codes_set_double_array(bufr, 'day', days);
|
||||
codes_set_double_array(bufr, 'hour', hours);
|
||||
codes_set_double_array(bufr, 'minute', minutes);
|
||||
codes_set_double_array(bufr, 'second', seconds);
|
||||
codes_set_double_array(bufr, 'latitude', latitudes);
|
||||
codes_set_double_array(bufr, 'longitude', longitudes);
|
||||
codes_set_double_array(bufr, 'height', altitudes);
|
||||
codes_set_double_array(bufr, 'pressure', pressures);
|
||||
codes_set_double_array(bufr, 'windSpeed', windSpeeds);
|
||||
codes_set_double_array(bufr, 'windDirection', windDirections);
|
||||
codes_set_double_array(bufr, 'airTemperature', temperatures);
|
||||
|
||||
codes_set(bufr,'pack',1);
|
||||
|
||||
codes_write(bufr,fbufrout);
|
||||
print 'Created output BUFR file: ',output_filename
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
#!/bin/sh
|
||||
|
||||
. ./include.sh
|
||||
|
||||
#-----------------------------------------------------
|
||||
# Create a BUFR from flight data
|
||||
#----------------------------------------------------
|
||||
|
||||
bufr_in=${data_dir}"/bufr/syno_1.bufr"
|
||||
csv_in="flight_data.csv"
|
||||
|
||||
bufr_out="temp.make_flight_bufr.bufr"
|
||||
|
||||
#fRef=$f".header.ref"
|
||||
#fRes=$f".header.test.p"
|
||||
REDIRECT=/dev/null
|
||||
|
||||
$PYTHON $examples_src/make_flight_bufr.py $csv_in $bufr_in $bufr_out
|
||||
|
||||
#We compare output to the reference by ignoring the whitespaces
|
||||
#diff -w $fRef $fRes
|
||||
|
||||
#Clean up
|
||||
rm -f $bufr_out
|
||||
Loading…
Reference in New Issue